Database systems and methods for automated database modifications

ABSTRACT

Database systems and related customization methods are provided. One exemplary method of modifying a database to support a new functionality involves receiving user input indicative of the new functionality from a client device coupled to a network, identifying existing customizations associated with a user of the client device in the database, determining a plurality of different solutions for implementing the new functionality based at least in part on the existing customizations associated with the user, providing a graphical user interface display at the client device including graphical indicia of the plurality of different solutions for implementing the new functionality, and in response to receiving indication of a selected solution of the plurality of different solutions from the client device, automatically instantiating a new customization corresponding to the selected solution in the database.

CROSS-REFERENCE TO RELATED APPLICATION(S)

This application is a continuation of U.S. patent application Ser. No.15/814,196, filed Nov. 15, 2017, the entire content of which isincorporated by reference herein.

TECHNICAL FIELD

Embodiments of the subject matter described herein relate generally todatabase systems, and more particularly, to methods and systems forcustomizing components in a database system.

BACKGROUND

Modern software development is evolving away from the client-servermodel toward network-based processing systems that provide access todata and services via the Internet or other networks. In contrast totraditional systems that host networked applications on dedicated serverhardware, a “cloud” computing model allows applications to be providedover the network “as a service” or “on-demand” by an infrastructureprovider. The infrastructure provider typically abstracts the underlyinghardware and other resources used to deliver a customer-developedapplication so that the customer no longer needs to operate and supportdedicated server hardware. The cloud computing model can often providesubstantial cost savings to the customer over the life of theapplication because the customer no longer needs to provide dedicatednetwork infrastructure, electrical and temperature controls, physicalsecurity and other logistics in support of dedicated server hardware.

Multi-tenant cloud-based architectures have been developed to improvecollaboration, integration, and community-based cooperation betweencustomer tenants without sacrificing data security. Generally speaking,multi-tenancy refers to a system where a single hardware and softwareplatform simultaneously supports multiple user groups (also referred toas “organizations” or “tenants”) from a common data storage element(also referred to as a “multi-tenant database”). The multi-tenant designprovides a number of advantages over conventional server virtualizationsystems. First, the multi-tenant platform operator can often makeimprovements to the platform based upon collective information from theentire tenant community. Additionally, because all users in themulti-tenant environment execute applications within a common processingspace, it is relatively easy to grant or deny access to specific sets ofdata for any user within the multi-tenant platform, thereby improvingcollaboration and integration between applications and the data managedby the various applications. The multi-tenant architecture thereforeallows convenient and cost effective sharing of similar applicationfeatures between multiple sets of users. For example, a multi-tenantsystem may support an on-demand customer relationship management (CRM)application that manages the data for a particular organization's salesstaff that is maintained by the multi-tenant system and facilitatescollaboration among members of that organization's sales staff (e.g.,account executives, sales representatives, and the like).

In practice, different users, tenants and/or organizations often havedifferent types of data and/or different relationships between data thatthey would like to maintain in the multi-tenant system, along withdifferent types of operations they would like to be able to perform ontheir data to achieve different business objectives. Accordingly, somemulti-tenant systems include an application platform that supports acustomizable user experience, for example, to create customapplications, web pages, reports, tables, functions, and/or otherobjects or features. However, creating and deploying new customizationscan be difficult and time-consuming, and may result in conflicts withpre-existing customizations or other aspects of the platform(s) of themulti-tenant system.

BRIEF DESCRIPTION OF THE DRAWINGS

A more complete understanding of the subject matter may be derived byreferring to the detailed description and claims when considered inconjunction with the following figures, wherein like reference numbersrefer to similar elements throughout the figures.

FIG. 1 is a block diagram of an exemplary database system;

FIG. 2 is a flow diagram of an exemplary automated development processsuitable for implementation in the database system of FIG. 1 inaccordance with one or more embodiments;

FIGS. 3-4 depict an exemplary graphical user interface (GUI) displaysequence illustrating the automated development process of FIG. 2 inaccordance with one or more exemplary embodiments; and

FIG. 5 is a block diagram of an exemplary multi-tenant system suitablefor use with the computing system of FIG. 1 in accordance with one ormore embodiments.

DETAILED DESCRIPTION

Embodiments of the subject matter described herein generally relate tomethods and systems for creating, instantiating, or otherwisecustomizing components of a virtual application in a database system inan automated manner that accounts for existing customizations anddatabase configurations. In this regard, the automated customizationsare determined using knowledge of the existing customizations so thatthey do not conflict with the existing customizations or otherwise causeerrors upon implementation. Thus, automated customizations can bevalidated and migrated from a development environment to a productionenvironment without generating errors requiring manual resolution. Whilethe subject matter may be described herein in the context of anon-demand database system supporting multiple user groups or tenants,the subject matter is not necessarily limited to on-demand applicationor database systems, multi-tenant systems, or any other particularsystem architecture or arrangement described herein.

In exemplary embodiments, a user input is received by the databasesystem and parsed or otherwise analyzed to identify the functionality orobjective that the user would like supported within the database system.Thereafter, the custom metadata, objects, validation rules, workflows,code, point and click configurations, and the like associated with theuser's instance of the virtual application are analyzed to determine aplurality of different potential solutions for implementing the desiredfunctionality or objective in the database system without conflictingwith the user's existing customizations. In this regard, the potentialsolutions account for the various validation rules, workflow rules, andthe like that are already supported or implemented, such thatimplementing one of the potential solutions will not violate existingvalidation rules, workflow rules, or the like or otherwise result inconflicts or errors upon implementation. For example, if an existingcustom workflow configured to apply to all of a particular tenant'sobjects references a particular field of those objects, a potentialsolution that involves creating a new custom object for that tenant alsodefines the structure of the new custom object to include the fieldreferenced by the existing custom workflow to ensure errors are notgenerated when the existing custom workflow is subsequently triggered bymodifications of the new custom object.

In one or more embodiments, machine learning or other artificialintelligence techniques may be utilized, either independently or inconcert with additional logic rules, to identify various potential waysfor achieving the desired functionality in the database system withoutviolating the custom validation rules, workflow rules, or otherconstraints associated with the user's instance of the virtualapplication. Machine learning (e.g., neural networks, reinforcementlearning, or the like) can be utilized to further limit the potentialsolutions to a relatively limited set of potential solutions based onone or more factors, such as, for example, similarity to existingcustomizations, previously-implemented solutions for similarfunctionality, optimization of a reward function, and/or the like.

In exemplary embodiments, a listing of a limited set of differentpotential solutions for achieving the desired functionality or objectiveis presented to the user for selection of one of the potentialsolutions. In response to selection of one of the solutions, thedatabase system is automatically modified or updated to implement orotherwise support that solution, for example, by automatically creatingthe objects, fields, workflows, and/or other metadata associated withthe selected solution in a development database and then automaticallyvalidating and migrating the modifications from the development databaseto a production database. In this regard, by virtue of the selectedsolution accounting for existing validation rules, workflows, and otherapplicable customizations, the modifications for achieving the desiredfunctionality or objective are unlikely to result in errors or conflictswhen deploying the modifications in the production database, therebyrelieving the burden on the user on resolving such errors or conflictsthat could otherwise result from failing to account for existingcustomizations. Additionally, the decision-making process is simplifiedfor the user by deemphasizing the need for the user to manually considerhow implementing a particular solution might undesirably impact existingcustomizations or functionality.

As one non-limiting example, an administrator user associated with aparticular tenant, organization, or other user group may utilize naturallanguage to interface with the database system to input or otherwiseindicate a desire to track a new portion or new aspect of its business,suppliers, customers, etc. For example, the administrator user mayindicate a desire to track suppliers and a few data points that areimportant to the tenant's business. An automated development engineassociated with the database system analyzes the data points andsuppliers to be tracked, and based on the tenant's existingcustomizations and standard database components, presents differentsolutions for tracking suppliers with respect to those data points. Forexample, the automated development engine may present three differentsolutions for tracking suppliers with respect to those data points: afirst solution leveraging a standard database object (e.g., an Accountobject) and new data fields for the data points to be tracked, a secondsolution leveraging an existing custom object associated with the tenantthat has yet to be deployed in production, and a third solutioninvolving creating a new custom object with data fields for the datapoints to be tracked. Once a solution is selected, the automateddevelopment engine may automatically create and deploy the selectedsolution. For example, if the second solution is selected, the automateddevelopment engine may automatically create the new data fieldsassociated with the existing custom object in a development database andthen migrate that custom object with new data fields up to a productiondatabase, thereby enabling tracking suppliers with respect to those datapoints for users associated with the tenant using that custom object. Ifan existing custom workflow for the tenant references a particular datafield of database objects, the automated development engine alsoautomatically creates a corresponding data field associated with thecustom object (if it did not already exist) in addition to the new datafields to ensure that the selected automated solution does not generatean error upon deployment to the production database when the existingcustom workflow is applied to the custom object.

FIG. 1 depicts an exemplary embodiment of a database system 100 thatincluding a server 102 communicatively coupled to a database 104. Asdescribed in greater detail below, the server 102 is capable ofreceiving input indicative of desired functionality to be supportedwithin the database system 100 from a user of a client device 106 andautomatically modifying components in the database 104 to achieve thedesired functionality. In the illustrated embodiment, the server 102 iscommunicatively coupled to the database 104 and the client device 106via a communications network 108. The communications network 108 may berealized as any sort or combination of wired and/or wireless computernetwork, a cellular network, a mobile broadband network, a radionetwork, the Internet, or the like. It should be noted that FIG. 1 is asimplified representation of a database system 100 for purposes ofexplanation and is not intended to be limiting. For example, inpractice, multiple instances of client devices 106 communicating on thenetwork 108 may be present, with any number of instances of applicationsbeing provided by the server 102 to various instances of client devices106.

The server 102 generally represents a computing device, computing systemor another combination of processing logic, circuitry, hardware, and/orother components configured to support the automated developmentprocesses, tasks, operations, and/or functions described herein. In thisregard, the server 102 includes a processing system 120, which may beimplemented using any suitable processing system and/or device, such as,for example, one or more processors, central processing units (CPUs),controllers, microprocessors, microcontrollers, processing cores and/orother hardware computing resources configured to support the operationof the processing system 120 described herein. The processing system 120may include or otherwise access a data storage element 122 (or memory)capable of storing programming instructions for execution by theprocessing system 120, that, when read and executed, cause processingsystem 120 to support the processes described herein. Depending on theembodiment, the memory 122 may be realized as a random access memory(RAM), read only memory (ROM), flash memory, magnetic or optical massstorage, or any other suitable non-transitory short or long term datastorage or other computer-readable media, and/or any suitablecombination thereof. In one or more embodiments, the programminginstructions cause the processing system 120 to create, generate, orotherwise facilitate an application platform 124 that generates orotherwise provides instances of a virtual application at run-time (or“on-demand”) based at least in part upon code and other data that isstored or otherwise maintained by the database 104. Accordingly, forpurposes of explanation but without limitation, the server 102 mayalternatively be referred to herein as an application server 102.

In exemplary embodiments, the programming instructions also cause theprocessing system 120 to create, generate, or otherwise facilitate anautomated development engine 126 that supports the automated developmentprocesses and related tasks, operations, and/or functions describedherein. Depending on the embodiment, the automated development engine126 can be integrated with or otherwise incorporated as part of avirtual application, or be realized as a separate or standalone process,application programming interface (API), or the like that is capable ofinteracting with the client device 106 independent of the virtualapplication to perform actions in the database 104.

The client device 106 generally represents an electronic device coupledto the network 108 that may be utilized by a user to access theapplication platform 124 on the application server 102 to retrieve datafrom the database 104 via the network 108. In practice, the clientdevice 106 can be realized as any sort of personal computer, mobiletelephone, tablet or other network-enabled electronic device. Inexemplary embodiments, the client device 106 includes a display device,such as a monitor, screen, or another conventional electronic display,capable of graphically presenting data and/or information provided bythe application platform 124 along with a user input device, such as atouchscreen, a touch panel, a mouse, a joystick, a directional pad, amotion sensor, or the like, capable of receiving input from the user ofthe client device 106. The illustrated client device 106 executes orotherwise supports a client application 107 that communicates with theapplication platform 124 on the server 102 using a networking protocol.In some embodiments, the client application 107 is realized as a webbrowser or similar local client application executed by the clientdevice 106 that contacts the application server 102 and/or applicationplatform 124 using a networking protocol, such as the hypertexttransport protocol (HTTP) or the like, to access or otherwise initiatean instance of a virtual application presented on the client device 106.

In exemplary embodiments, the database 104 stores or otherwise maintainsdata for integration with or invocation by a virtual application inobjects organized in object tables 110. In this regard, the database 104includes a plurality of different object tables 110 configured to storeor otherwise maintain alphanumeric values or other descriptiveinformation that define a particular instance of a respective type ofobject associated with a respective object table 110. For example, thevirtual application may support a number of different types of objectsthat may be incorporated into or otherwise depicted or manipulated bythe virtual application, with each different type of object having acorresponding object table 110 that includes columns or fieldscorresponding to the different parameters or criteria that define aparticular instance of that object.

In one or more exemplary embodiments described herein, the database 104stores or otherwise maintains application objects (e.g., an applicationobject type) where the application object table 110 includes columns orfields corresponding to the different parameters or criteria that definea particular application capable of being generated or otherwiseprovided by the application platform 124 on a client device 106. In thisregard, the database 104 may also store or maintain graphical userinterface (GUI) objects that may be associated with or referenced by aparticular application object and include columns or fields that definethe layout, sequencing, and other characteristics of GUI displays to bepresented by the application platform 124 on a client device 106 inconjunction with that application. Additionally, the database 104 storesor otherwise maintains additional database objects for associationand/or integration with the application, which may include customobjects and/or standard objects, as described in greater detail below.

In exemplary embodiments, the database 104 also includes or otherwisemaintains one or more validation tables 112 that include one or morevalidation rules or criteria associated with respective types ofdatabase object types that may be applied to entries in the variousdatabase object tables 110. A validation rule provides validationcriteria for one or more fields (or columns) of a particular databaseobject type, such as, minimum and/or maximum values for a particularfield, a range of allowable values for the particular field, a set ofallowable values for a particular field, or the like. Additionally, thevalidation rule may provide a default value to be assigned to a field(or column) of a particular database object table 110 when the value forthat field of a particular record or entry in that database object table110 does not satisfy the validation criteria for that field. In someembodiments, the validation rules associated with a particular databaseobject type may identify or otherwise indicate required fields for thatparticular object.

Additionally, the database 104 stores or otherwise maintains metadata116, which may be utilized to perform data manipulation and/orformatting. For example, the metadata 116 may include or define describeany number of process flows, workflows, formulas, business logic,structure and other database components or constructs that may beassociated with a particular application database object. In thisregard, in some embodiments, the metadata 116 may associated with aparticular type of application or other database component may identifyor otherwise indicate other database objects may be required forsupporting the particular process flows, formulas, business logic, orother aspects of the logical structure of that application. Theillustrated database 104 also includes or otherwise maintains one ormore workflow tables 116 that include one or more workflows rules orlogical criteria associated with respective types of database objecttypes that may be applied to entries in the various database objecttables 110. In this regard, a workflow rule defines actions, triggers,or other logical criteria or operations that may be applied or otherwiseperformed in response to creation, changes, or updates to a record in anobject table 110.

In one or more exemplary embodiments, the database 104 also stores orotherwise maintains code packages 118 that may include source code,classes, and/or other components associated with a code package that maybe installed or integrated with one or more instances of a virtualapplication supported by the database system 100. In this regard, thecode package 118 may include compiled source code, bytecode or someother executable sequence of programming instructions in an assemblylanguage, machine code, binary, or lower level programming language thatcan be retrieved and executed at run-time without having to performingcompilation. The illustrated embodiment of the database 104 also storesor otherwise maintains point-and-click configurations 119 which maydefine the standard objects, console layouts, tagging, user interfaces,feed tracking preferences, search options, applications, tabs, customobjects, report types, workflow rules, and/or potentially other settingsthat may be associated with a particular instance of the virtualapplication.

As described in greater detail below in the context of FIGS. 2-4 , inexemplary embodiments, the automated development engine 126 obtains thecustomizations associated with a user of the client device 106 or agroup of users (or tenant) associated with the user of the client device106 from the database 104 and utilizes the customizations to determine aplurality of different potential solutions for implementing newfunctionality or achieving an objective without conflicting with theexisting customizations. For example, for an administrator userassociated with a particular tenant, the automated development engine126 may utilize the tenant identifier to identify or obtain informationpertaining to any existing custom objects, custom validation rules,custom workflow rules, custom metadata or schema, custom code packages,and/or custom point-and-click configurations associated with that tenantfrom the relevant tables 110, 112, 114, 116, 118, 119 in the database104. Using knowledge of the tenant's existing customizations in additionto standard database components, the automated development engine 126determines potential solutions for implementing new functionality withinthat tenant's instance of a virtual application supported by thedatabase system 100 in a manner that does not conflict with or causeerrors with respect to the tenant's existing customizations.

It should be noted that FIG. 1 is a simplified representation of thedatabase system 100 and is not intended to be limiting. For example, inone or more exemplary embodiments, the database system 100 includesmultiple different databases 104 having existing customizations that maydiffer across different instances of the database 104. In oneembodiment, the database system 100 includes a development database thatrepresents a replication of at least a subset of the customizationsassociated with a particular user or tenant from a production database(e.g., database 104) with additional customizations that have not beenintegrated or implemented at the production database. Additionally, thedatabase system 100 may include a testing database that represents areplication of at least a subset of the customizations and object dataassociated with a particular user or tenant from a production database,with potentially additional customizations that have not been integratedor implemented at the production database. As one non-limiting example,the testing database is realized as a replication of the up-to-date orreal-time data maintained in the production database with at least somecustomizations associated with the particular user or tenant beingmodified with respect to the customizations in the production database.In one or more exemplary embodiments described herein, the automateddevelopment engine 126 obtains the current customizations from each ofthe different databases 104 within the database system 100 to determinepotential solutions that do not conflict with existing customizationsimplemented at the production database and also do not conflict withexisting customizations obtained from the development database ortesting database that have not yet been implemented at the productiondatabase. In this regard, implementing a potential solution at thedevelopment database and migrating the solution from the developmentdatabase to the testing database and then on to the production databasedoes not generate errors or conflicts with the existing customizationsupon instantiation at the respective databases.

FIG. 2 depicts an exemplary embodiment of an automated developmentprocess 200 suitable for implementation in a database system to upgradeand customize functionality without conflicting with existingcustomizations. For illustrative purposes, the following description mayrefer to elements mentioned above in connection with FIG. 1 . In thisregard, while portions of the automated development process 200 may beperformed by different elements of the database system 100, for purposesof explanation, the subject matter is described herein in the context ofthe automated development process 200 being primarily performed by theapplication platform 124 and/or automated development engine 126 thatare implemented or executed by the processing system 120 at the server102. It should be appreciated that the automated development process 200may include any number of additional or alternative tasks, the tasksneed not be performed in the illustrated order and/or the tasks may beperformed concurrently, and/or the automated development process 200 maybe incorporated into a more comprehensive procedure or process havingadditional functionality not described in detail herein. Moreover, oneor more of the tasks shown and described in the context of FIG. 2 couldbe omitted from a practical embodiment of the automated developmentprocess 200 as long as the intended overall functionality remainsintact.

The automated development process 200 begins by receiving or otherwiseobtaining an input from a user of a client device and parsing orotherwise analyzing the input to identify the desired objective orfunctionality that the user would like supported by the database system(tasks 202, 204). In one or more embodiments, the user input isconversational and realized as an unconstrained string or combination ofwords provided in a free-form or unstructured manner using naturallanguage rather than a predefined syntax. In this regard, the automateddevelopment engine 126 may incorporate or reference a vocabulary ofwords, phrases, phonemes, or the like associated with a particularlanguage that supports speech recognition or otherwise parsing andresolving text or other conversational input received by the automateddevelopment engine 126, or alternatively, the automated developmentengine 126 may invoke or otherwise leverage a speech recognition engineor similar artificial intelligence supported at the server 102 forresolving user input. Depending on the embodiment, the conversationalinput may be received unprompted, or alternatively, the user maymanipulate the client device 106 to select or otherwise activate a GUIelement that enables or initiates the automated development process 200.For example, in one or more embodiments, the automated developmentprocess 200 may be initiated in response to a user selecting a GUIelement for a help feature, a digital assistant, or similar featuresupported by the application platform 124. In response, the applicationplatform 124 may generate or otherwise provide a GUI display or otherGUI elements within the client application 107 on the client device 106that prompt the user to indicate what he or she would like toaccomplish. Thereafter, the user may input (e.g., via typing, swiping,touch, voice, or any other suitable method) a conversational string ofwords in a free-form or unconstrained manner, which is captured by theuser input device of the client device 106 and provided over the network108 to the application platform 124 and/or the automated developmentengine 126 via the client application 107 (or a virtual applicationprovided therein).

The user input may be analyzed to identify any words (or variants) thatmatch or otherwise correspond to fields, objects, actions and/or otherfunctionality that may be supported by the application platform 124. Forexample, the desired functionality could be a new piece of data that theuser would like to track, a relationship between different data objectthat the user would like to monitor, a new graphical user interfacedisplay or layout, or the like. In the absence of identifying thedesired objective or functionality that the user would like supported,the automated development process prompts the user to provide additionalinput or recharacterize the desired functionality or objective until itis resolved by the automated development process (tasks 206, 208). Inthis regard, recognition vocabulary data could be utilized to generateor otherwise provide conversational output (e.g., text, audio, or thelike) to the client device 106 for presentation to the user (e.g., inresponse to received conversational input) that prompts the user toinput additional information or better define the functionality orobjective the user would like to achieve.

After identifying the desired objective, the automated developmentprocess 200 continues by identifying or obtaining existingcustomizations associated with the user from one or more databaseswithin the database system and identifying or otherwise determining aplurality of potential different solutions for achieving the newfunctionality corresponding to the desired objective in a manner that isinfluenced by the existing customizations (tasks 210, 212). In oneembodiment, the automated development engine 126 utilizes machinelearning or other artificial intelligence to output a listing ofpotential different solutions as a function of the existingcustomizations associated with the user and the desired functionality.For example, the existing customizations and new functionality to besupported may be input to a neural network model or other machinelearning model or artificial intelligence model that probabilisticallydetermines a plurality of development solutions for achieving the newfunctionality without conflicting with the existing customizations inputto the model. In this regard, the model may be configured to output alimited number of potential solutions for presentation to the user(e.g., the three best potential solutions by probability). Such a modelmay be trained using previous customizations or modifications to achievesimilar functionality, such that the potential solutions output by themodel reflect existing customizations associated with the user or tenantor previous customizations for implementing similar functionality (e.g.,by the particular user or tenant or other users or tenants supported bythe database system 100). In some embodiments, reinforcement learningmay be utilized to derive a reward function for modifying or upgradingthe database, so that the potential simulations reflect existingcustomizations or previous modifications by optimizing the rewardfunction. In another embodiment, an initial set of potential solutionsfor implementing the new functionality may be determined, and thenfiltered using the existing customizations (and potential conflictstherewith) to remove any potentially conflicting solutions arrive at aset of potential solutions that do not conflict with existingcustomizations. In exemplary embodiments, the automated developmentengine 126 also accounts for standard components in the database 104(e.g., standard objects, standard validation and workflow rules,standard metadata, and the like) when determining potential solutions toensure the potential solutions also do not conflict with standardcomponents.

In exemplary embodiments, the automated development process 200generates or otherwise provides a GUI display that lists a plurality ofpotential solutions for implementing the new functionality desired bythe user (task 214). In this regard, the automated development engine126 generates or otherwise provides a GUI display within the clientapplication 107 on the client device 106 that includes a listing ofpotential solutions for achieving the user's objective, where each ofthe displayed potential solutions is associated with a selectable GUIelement that may be selected by the user to indicate the potentialsolution that the user would like to implement.

In response to receiving indication of a potential solution that theuser would like to implement, the automated development process 200continues by automatically implementing or otherwise instantiating theselected solution in a development database (task 216). In this regard,the automated development engine 126 automatically modifies one or moreof the object tables 110, validation tables 112, workflow tables 114, ormetadata 116 maintained by the development database to implement theselected solution. For example, if the selected solution entailscreating a new custom object, the automated development engine 126 maymodify the object tables 110 and metadata 116 at the developmentdatabase to support the new custom object. Additionally, if the selectedsolution entails a workflow influenced by a particular field of that newcustom object, the automated development engine 126 may create thatfield in the object table 110 corresponding to the new custom object andthen update the workflow tables 114 to implement the new workflow withrespect to that new field of the new custom object. The automateddevelopment engine 126 may also modify validation rules 112 in thedevelopment database to apply to the new field or new custom objecttable 110. It should be noted that when machine learning or artificialintelligence models are utilized to determine potential differentsolutions, the selected solution may also be utilized to update thetraining data for the model or otherwise fed back to the model tofurther train the model. In this regard, the artificial intelligencemodel may adapt to reflect the potential solutions chosen by users.

In one or more exemplary embodiments, the automated development process200 automatically migrates or deploys the selected solution from thedevelopment database up to a production database (task 218). Forexample, the automated development engine 126 may automatically performvalidations at the development database and create a change set thatcaptures the new or modified metadata, object data, workflows and thelike implemented at the development database and dependent components,and then utilize the change set to deploy the selected solution for thenew functionality from the development database up to a productiondatabase. For example, the automated development engine 126 may firstutilize the change set to update a testing database to include the newor modified metadata, object data, workflows, and the like and performvalidations at the testing database to ensure the new customizations donot generate errors or conflicts when applied to a replicated version ofthe production database before deploying the selected solution to theproduction database or another database. After validating theimplementation of the selected solution at the testing database, theautomated development engine 126 may automatically create a change setthat captures the new or modified metadata, object data, workflows, andthe like from the testing database and then utilize the change set todeploy the new or modified metadata, object data, workflows, and thelike at the production database 104. In this regard, by virtue of theautomated development engine 126 accounting for existing customizationsat the various databases 104 within the database system 100, theautomated development engine 126 is able to migrate and deploy theselected solution without errors or conflicts being generated withrespect to existing metadata 116, existing workflows 114, existingvalidations 112, existing code packages 118, and/or existingpoint-and-click configurations 119.

FIGS. 3-4 depict an exemplary sequence of GUI displays that may bepresented within a client application 107 at a client device 106 inconnection with the automated development process 200 of FIG. 2 . Forexample, FIG. 3 depicts a setup GUI display 300 that may be presented bya virtual application within a browser application 107 on a clientdevice 106 to an administrator user associated with a particular tenantor user group supported by the database system 100. In response toselection of a selectable GUI element within the setup GUI display 300to add new functionality to instances of the virtual applicationassociated with that tenant or user group, the automated developmentengine 126 generates or otherwise provides a text box, a window overlay,or similar GUI element 302 that may be utilized by the administratoruser of the client device 106 to provide input indicative of a newfunctionality that the administrator would like to be supported. Theautomated development engine 126 analyzes the user input provided viathe GUI element 302 to determine the new functionality to be added tothe database system 100.

As described above, after identifying the new functionality to besupported, the automated development engine 126 identifies or obtainsexisting customizations associated with the user group or tenant whoseinstances of the virtual application are to be modified. In this regard,using a tenant identifier associated with the administrator user of theclient device 106, the automated development engine 126 identifies orobtains custom metadata 116 associated with that particular tenant,information pertaining to custom objects 110 associated with thatparticular tenant, custom validation and/or workflow rules 112, 114associated with that particular tenant, and any custom code packages 118and/or point-and-click configurations 119 associated with thatparticular tenant. In exemplary embodiments, the tenant's existingcustomizations are identified or obtained from each different type ofdatabase supported within the database system 100, including anycustomizations implemented at development or testing databases inaddition to the existing customizations implemented at the productiondatabase 104. Based on the tenant's existing customizations, theautomated development engine 126 determines a plurality of differentways to implement or support the new functionality within the databasesystem 100 without causing any conflicts or errors with respect to thetenant's existing customizations. In this regard, the potentialsolutions for implementing the new functionality may comply withexisting custom validation and/or workflow rules 112, 114 associatedwith that particular tenant. The potential solutions may also accountfor existing custom code packages 118 and/or point-and-clickconfigurations 119 to ensure they are able to be executed or performedwithout generating any errors or exceptions. The potential solutions forimplementing the new functionality may also account for the tenant'sexisting custom objects 110 and/or tenant-specific metadata 116. Asdescribed above, machine learning, neural networks, and/or otherartificial intelligence strategies may be utilized to probabilisticallyidentify a limited set of potential solutions for implementing the newfunctionality that are optimized for the particular tenant given thetenant's existing customizations. In this regard, potential solutionsmay be ranked or ordered and then filtered using various criteria toobtain a limited set of potential solutions for display.

Turning now to FIG. 4 , after identifying potential solutions forimplementing the requested functionality via user interface element 302,the automated development engine 126 updates the setup GUI display 300to include indicia 402, 404, 406 of the potential solutions forsupporting the new functionality without conflicting with the tenant'sexisting customizations. For example, a selectable card, tile, icon, orthe like may be presented for each displayed solution that includesinformation detailing or characterizing the new components or databasemodifications associated with implementing that solution. In theillustrated embodiment, the first card 402 for a highest ranked solutionindicates that implementation for achieving the desired functionalityinvolves a new custom field of a new custom object and a correspondingworkflow that references that field of the new custom object. A secondcard 404 corresponding to the next highest ranked solution indicatesthat implementation for achieving the desired functionality involves anew custom field and leveraging existing objects supported by thedatabase, which could be standard objects (e.g., an opportunity object)or existing custom objects (e.g., a payment object). A third card 406corresponding to the next highest ranked solution indicates thatimplementation for achieving the desired functionality involves two newcustom fields and an action or trigger for a web feed within the virtualapplication. The administrator user may review the implementationinformation presented within the cards 402, 404, 406 to determine whichsolution is believed to be most preferable or beneficial for his or hertenant given the administrator's understanding of the tenant's businessprocesses, existing customizations, potential future customizations, andthe like.

In exemplary embodiments, the cards 402, 404, 406 are selectable, and inresponse to selection of one of the cards 402, 404, 406, the automateddevelopment engine 126 automatically implements the selected solution inthe development database (e.g., task 216). In exemplary embodiments, theautomated development engine 126 also automatically migrates thesolution from the development database to the production database;however, it should be noted that in other embodiments the automateddevelopment engine 126 leaves the solution implemented at a lower level(e.g., a development or testing database) for additional testing ordevelopment or manual deployment to the production database.

For example, in response to selection of the first card 402, theautomated development engine 126 may automatically update the objecttables 110 and metadata 116 in a development database to support a newcustom object that includes a new custom field, and then automaticallycreate a new workflow rule associated with the tenant and stored in theworkflow tables 116 that references the new custom field of instances ofthe new custom object. The automated development engine 126 may thenautomatically validate or otherwise verify the modifications at thedevelopment database and then automatically create a change set thatcaptures the new custom object type and new workflow rule. The automateddevelopment engine 126 may then use the change set to automaticallydeploy the new custom object type and new workflow rule at a testingdatabase, automatically validate the modifications at the testingdatabase, and then automatically deploy the new custom object type andnew workflow rule to the production database 104 after validation at thetesting database. In this regard, by virtue of the automated developmentengine 126 accounting for the tenant's existing customizations, the newcustom object type and new workflow rule can be deployed withoutgenerating errors or conflicts during validation and migration throughthe different database levels. In exemplary embodiments, the new customobject type and new workflow rule are deployed automatically and withoutany manual interaction once the card 402 corresponding to that automateddevelopment solution is selected; however, in alternative embodiments,deployment and migration of an automated development solution acrossdifferent databases may be subject to additional approval, verification,or other manual interaction by the user or an administrator.

FIG. 5 depicts an exemplary embodiment of an on-demand multi-tenantdatabase system 500 suitable for use with the automated developmentprocess 200 of FIG. 2 or the database system 100 of FIG. 1 . Theillustrated multi-tenant system 500 of FIG. 5 includes a server 502,such as server 102, that dynamically creates and supports virtualapplications 528 based upon data 532 from a common database 530 (e.g.,database 104) that is shared between multiple tenants, alternativelyreferred to herein as a multi-tenant database. Data and servicesgenerated by the virtual applications 528 are provided via a network 545(e.g., network 108) to any number of client devices 540 (e.g., clientdevice 106), as desired. Each virtual application 528 is suitablygenerated at run-time (or on-demand) using a common application platform510 (e.g., application platform 124) that securely provides access tothe data 532 in the database 530 for each of the various tenantssubscribing to the multi-tenant system 500. In accordance with onenon-limiting example, the multi-tenant system 500 is implemented in theform of an on-demand multi-tenant customer relationship management (CRM)system that can support any number of authenticated users of multipletenants.

As used herein, a “tenant” or an “organization” should be understood asreferring to a group of one or more users that shares access to commonsubset of the data within the multi-tenant database 530. In this regard,each tenant includes one or more users associated with, assigned to, orotherwise belonging to that respective tenant. To put it another way,each respective user within the multi-tenant system 500 is associatedwith, assigned to, or otherwise belongs to a particular tenant of theplurality of tenants supported by the multi-tenant system 500. Tenantsmay represent customers, customer departments, business or legalorganizations, and/or any other entities that maintain data forparticular sets of users within the multi-tenant system 500 (i.e., inthe multi-tenant database 530). For example, the application server 502may be associated with one or more tenants supported by the multi-tenantsystem 500. Although multiple tenants may share access to the server 502and the database 530, the particular data and services provided from theserver 502 to each tenant can be securely isolated from those providedto other tenants (e.g., by restricting other tenants from accessing aparticular tenant's data using that tenant's unique organizationidentifier as a filtering criterion). The multi-tenant architecturetherefore allows different sets of users to share functionality andhardware resources without necessarily sharing any of the data 532belonging to or otherwise associated with other tenants.

The multi-tenant database 530 is any sort of repository or other datastorage system capable of storing and managing the data 532 associatedwith any number of tenants. The database 530 may be implemented usingany type of conventional database server hardware. In variousembodiments, the database 530 shares processing hardware 504 with theserver 502. In other embodiments, the database 530 is implemented usingseparate physical and/or virtual database server hardware thatcommunicates with the server 502 to perform the various functionsdescribed herein. In an exemplary embodiment, the database 530 includesa database management system or other equivalent software capable ofdetermining an optimal query plan for retrieving and providing aparticular subset of the data 532 to an instance of virtual application528 in response to a query initiated or otherwise provided by a virtualapplication 528. The multi-tenant database 530 may alternatively bereferred to herein as an on-demand database, in that the multi-tenantdatabase 530 provides (or is available to provide) data at run-time toon-demand virtual applications 528 generated by the application platform510.

In practice, the data 532 may be organized and formatted in any mannerto support the application platform 510. In various embodiments, thedata 532 is suitably organized into a relatively small number of largedata tables to maintain a semi-amorphous “heap”-type format. The data532 can then be organized as needed for a particular virtual application528. In various embodiments, conventional data relationships areestablished using any number of pivot tables 534 that establishindexing, uniqueness, relationships between entities, and/or otheraspects of conventional database organization as desired. Further datamanipulation and report formatting is generally performed at run-timeusing a variety of metadata constructs. Metadata within a universal datadirectory (UDD) 536, for example, can be used to describe any number offorms, reports, workflows, user access privileges, business logic andother constructs that are common to multiple tenants. Tenant-specificformatting, functions and other constructs may be maintained astenant-specific metadata 538 for each tenant, as desired. Rather thanforcing the data 532 into an inflexible global structure that is commonto all tenants and applications, the database 530 is organized to berelatively amorphous, with the pivot tables 534 and the metadata 538providing additional structure on an as-needed basis. To that end, theapplication platform 510 suitably uses the pivot tables 534 and/or themetadata 538 to generate “virtual” components of the virtualapplications 528 to logically obtain, process, and present therelatively amorphous data 532 from the database 530.

Still referring to FIG. 5 , the server 502 is implemented using one ormore actual and/or virtual computing systems that collectively providethe dynamic application platform 510 for generating the virtualapplications 528. For example, the server 502 may be implemented using acluster of actual and/or virtual servers operating in conjunction witheach other, typically in association with conventional networkcommunications, cluster management, load balancing and other features asappropriate. The server 502 operates with any sort of conventionalprocessing hardware 504, such as a processor 505, memory 506,input/output features 507 and the like. The input/output features 507generally represent the interface(s) to networks (e.g., to the network545, or any other local area, wide area or other network), mass storage,display devices, data entry devices and/or the like. The processor 505may be implemented using any suitable processing system, such as one ormore processors, controllers, microprocessors, microcontrollers,processing cores and/or other computing resources spread across anynumber of distributed or integrated systems, including any number of“cloud-based” or other virtual systems. The memory 506 represents anynon-transitory short or long term storage or other computer-readablemedia capable of storing programming instructions for execution on theprocessor 505, including any sort of random access memory (RAM), readonly memory (ROM), flash memory, magnetic or optical mass storage,and/or the like. The computer-executable programming instructions, whenread and executed by the server 502 and/or processor 505, cause theserver 502 and/or processor 505 to create, generate, or otherwisefacilitate the application platform 510 and/or virtual applications 528and perform one or more additional tasks, operations, functions, and/orprocesses described herein. It should be noted that the memory 506represents one suitable implementation of such computer-readable media,and alternatively or additionally, the server 502 could receive andcooperate with external computer-readable media that is realized as aportable or mobile component or application platform, e.g., a portablehard drive, a USB flash drive, an optical disc, or the like.

The application platform 510 is any sort of software application orother data processing engine that generates the virtual applications 528that provide data and/or services to the client devices 540. In atypical embodiment, the application platform 510 gains access toprocessing resources, communications interfaces and other features ofthe processing hardware 504 using any sort of conventional orproprietary operating system 508. The virtual applications 528 aretypically generated at run-time in response to input received from theclient devices 540. For the illustrated embodiment, the applicationplatform 510 includes a bulk data processing engine 512, a querygenerator 514, a search engine 516 that provides text indexing and othersearch functionality, and a runtime application generator 520. Each ofthese features may be implemented as a separate process or other module,and many equivalent embodiments could include different and/oradditional features, components or other modules as desired.

The runtime application generator 520 dynamically builds and executesthe virtual applications 528 in response to specific requests receivedfrom the client devices 540. The virtual applications 528 are typicallyconstructed in accordance with the tenant-specific metadata 538, whichdescribes the particular tables, reports, interfaces and/or otherfeatures of the particular application 528. In various embodiments, eachvirtual application 528 generates dynamic web content that can be servedto a browser or other client program 542 associated with its clientdevice 540, as appropriate.

The runtime application generator 520 suitably interacts with the querygenerator 514 to efficiently obtain multi-tenant data 532 from thedatabase 530 as needed in response to input queries initiated orotherwise provided by users of the client devices 540. In a typicalembodiment, the query generator 514 considers the identity of the userrequesting a particular function (along with the user's associatedtenant), and then builds and executes queries to the database 530 usingsystem-wide metadata 536, tenant specific metadata 538, pivot tables534, and/or any other available resources. The query generator 514 inthis example therefore maintains security of the common database 530 byensuring that queries are consistent with access privileges granted tothe user and/or tenant that initiated the request. In this manner, thequery generator 514 suitably obtains requested subsets of data 532accessible to a user and/or tenant from the database 530 as needed topopulate the tables, reports or other features of the particular virtualapplication 528 for that user and/or tenant.

Still referring to FIG. 5 , the data processing engine 512 performs bulkprocessing operations on the data 532 such as uploads or downloads,updates, online transaction processing, and/or the like. In manyembodiments, less urgent bulk processing of the data 532 can bescheduled to occur as processing resources become available, therebygiving priority to more urgent data processing by the query generator514, the search engine 516, the virtual applications 528, etc.

In exemplary embodiments, the application platform 510 is utilized tocreate and/or generate data-driven virtual applications 528 for thetenants that they support. Such virtual applications 528 may make use ofinterface features such as custom (or tenant-specific) screens 524,standard (or universal) screens 522 or the like. Any number of customand/or standard objects 526 may also be available for integration intotenant-developed virtual applications 528. As used herein, “custom”should be understood as meaning that a respective object or applicationis tenant-specific (e.g., only available to users associated with aparticular tenant in the multi-tenant system) or user-specific (e.g.,only available to a particular subset of users within the multi-tenantsystem), whereas “standard” or “universal” applications or objects areavailable across multiple tenants in the multi-tenant system. Forexample, a virtual CRM application may utilize standard objects 526 suchas “account” objects, “opportunity” objects, “contact” objects, or thelike. The data 532 associated with each virtual application 528 isprovided to the database 530, as appropriate, and stored until it isrequested or is otherwise needed, along with the metadata 538 thatdescribes the particular features (e.g., reports, tables, functions,objects, fields, formulas, code, etc.) of that particular virtualapplication 528. For example, a virtual application 528 may include anumber of objects 526 accessible to a tenant, wherein for each object526 accessible to the tenant, information pertaining to its object typealong with values for various fields associated with that respectiveobject type are maintained as metadata 538 in the database 530. In thisregard, the object type defines the structure (e.g., the formatting,functions and other constructs) of each respective object 526 and thevarious fields associated therewith.

Still referring to FIG. 5 , the data and services provided by the server502 can be retrieved using any sort of personal computer, mobiletelephone, tablet or other network-enabled client device 540 on thenetwork 545. In an exemplary embodiment, the client device 540 includesa display device, such as a monitor, screen, or another conventionalelectronic display capable of graphically presenting data and/orinformation retrieved from the multi-tenant database 530. Typically, theuser operates a conventional browser application or other client program542 (e.g., client application 107) executed by the client device 540 tocontact the server 502 via the network 545 using a networking protocol,such as the hypertext transport protocol (HTTP) or the like. The usertypically authenticates his or her identity to the server 502 to obtaina session identifier (“SessionID”) that identifies the user insubsequent communications with the server 502. When the identified userrequests access to a virtual application 528, the runtime applicationgenerator 520 suitably creates the application at run time based uponthe metadata 538, as appropriate. As noted above, the virtualapplication 528 may contain Java, ActiveX, or other content that can bepresented using conventional client software running on the clientdevice 540; other embodiments may simply provide dynamic web or othercontent that can be presented and viewed by the user, as desired.

Referring again to FIGS. 1-2 with reference to FIG. 5 , in one or moreexemplary embodiments, the server 502 and/or the application platform510 supports the automated development process 200 to automaticallydevelop and implement solutions for adding new functionality toinstances of the virtual application 528 for a particular tenantsupported within the on-demand multi-tenant system 500 by accounting forthat tenant's existing custom objects 526, existing custom screens 524,or other existing custom metadata 538 along with any additional customcode, point-and-click configurations, custom validation and/or workflowrules, and/or other custom components supporting a customizeddata-driven virtual application 528 provided to users associated withthat particular tenant within the system 500. In this regard, new customobjects 526, new custom screens 524, and/or new custom metadata 538 maybe automatically created and implemented in the on-demand multi-tenantsystem 500 without interfering with the functionality of existing customobjects 526, existing custom screens 524, and/or existing custommetadata 538.

The foregoing description is merely illustrative in nature and is notintended to limit the embodiments of the subject matter or theapplication and uses of such embodiments. Furthermore, there is nointention to be bound by any expressed or implied theory presented inthe technical field, background, or the detailed description. As usedherein, the word “exemplary” means “serving as an example, instance, orillustration.” Any implementation described herein as exemplary is notnecessarily to be construed as preferred or advantageous over otherimplementations, and the exemplary embodiments described herein are notintended to limit the scope or applicability of the subject matter inany way.

For the sake of brevity, conventional techniques related to databasefunctions and operations, multi-tenancy, cloud computing, on-demandapplications, artificial intelligence, speech recognition or analysis,software development, and other functional aspects of the systems (andthe individual operating components of the systems) may not be describedin detail herein. In addition, those skilled in the art will appreciatethat embodiments may be practiced in conjunction with any number ofsystem and/or network architectures, data transmission protocols, anddevice configurations, and that the system described herein is merelyone suitable example. Furthermore, certain terminology may be usedherein for the purpose of reference only, and thus is not intended to belimiting. For example, the terms “first,” “second” and other suchnumerical terms do not imply a sequence or order unless clearlyindicated by the context.

Embodiments of the subject matter may be described herein in terms offunctional and/or logical block components, and with reference tosymbolic representations of operations, processing tasks, and functionsthat may be performed by various computing components or devices. Suchoperations, tasks, and functions are sometimes referred to as beingcomputer-executed, computerized, software-implemented, orcomputer-implemented. In practice, one or more processing systems ordevices can carry out the described operations, tasks, and functions bymanipulating electrical signals representing data bits at accessiblememory locations, as well as other processing of signals. The memorylocations where data bits are maintained are physical locations thathave particular electrical, magnetic, optical, or organic propertiescorresponding to the data bits. It should be appreciated that thevarious block components shown in the figures may be realized by anynumber of hardware, software, and/or firmware components configured toperform the specified functions. For example, an embodiment of a systemor a component may employ various integrated circuit components, e.g.,memory elements, digital signal processing elements, logic elements,look-up tables, or the like, which may carry out a variety of functionsunder the control of one or more microprocessors or other controldevices. When implemented in software or firmware, various elements ofthe systems described herein are essentially the code segments orinstructions that perform the various tasks. The program or codesegments can be stored in a processor-readable medium or transmitted bya computer data signal embodied in a carrier wave over a transmissionmedium or communication path. The “processor-readable medium” or“machine-readable medium” may include any non-transitory medium that canstore or transfer information. Examples of the processor-readable mediuminclude an electronic circuit, a semiconductor memory device, a ROM, aflash memory, an erasable ROM (EROM), a floppy diskette, a CD-ROM, anoptical disk, a hard disk, a fiber optic medium, a radio frequency (RF)link, or the like. The computer data signal may include any signal thatcan propagate over a transmission medium such as electronic networkchannels, optical fibers, air, electromagnetic paths, or RF links. Thecode segments may be downloaded via computer networks such as theInternet, an intranet, a LAN, or the like. In this regard, the subjectmatter described herein can be implemented in the context of anycomputer-implemented system and/or in connection with two or moreseparate and distinct computer-implemented systems that cooperate andcommunicate with one another. In one or more exemplary embodiments, thesubject matter described herein is implemented in conjunction with avirtual customer relationship management (CRM) application in amulti-tenant environment.

While at least one exemplary embodiment has been presented in theforegoing detailed description, it should be appreciated that a vastnumber of variations exist. It should also be appreciated that theexemplary embodiment or embodiments described herein are not intended tolimit the scope, applicability, or configuration of the claimed subjectmatter in any way. Rather, the foregoing detailed description willprovide those skilled in the art with a convenient road map forimplementing the described embodiment or embodiments. It should beunderstood that various changes can be made in the function andarrangement of elements without departing from the scope defined by theclaims, which includes known equivalents and foreseeable equivalents atthe time of filing this patent application. Accordingly, details of theexemplary embodiments or other limitations described above should not beread into the claims absent a clear intention to the contrary.

What is claimed is:
 1. A system comprising: a data storage to maintainexisting customizations; and a processing system coupled to the datastorage and a network to: receive user input indicative of a newfunctionality to be supported by a platform from a client device coupledto the network; probabilistically determine a plurality of modificationscorresponding to different solutions for achieving the new functionalityas a function of the existing customizations and the new functionalityusing a model configurable to probabilistically determine the differentsolutions; provide, at the client device, graphical representations ofthe plurality of modifications; and automatically implement one of theplurality of modifications corresponding to a selected solution of thedifferent solutions in response to selection of the one of the pluralityof modifications.
 2. The system of claim 1, wherein the processingsystem is configurable to execute instructions to implement an automateddevelopment engine that is configurable to output the plurality ofmodifications as the function of the existing customizations and the newfunctionality.
 3. The system of claim 2, wherein the automateddevelopment engine is configurable to determine the plurality ofmodifications by optimizing a reward function derived by reinforcementlearning.
 4. The system of claim 1, wherein the model comprises a neuralnetwork model, a machine learning model, or an artificial intelligencemodel.
 5. The system of claim 1, wherein: the user input comprises aconversational user input comprising an unconstrained string orcombination of words provided in a free-form or unstructured mannerusing natural language; and the processing system is configurable toanalyze the conversational user input using speech recognition orartificial intelligence to identify the new functionality to be added.6. The system of claim 1, wherein the platform comprises an applicationplatform configurable to generate an instance of a virtual applicationat run-time based at least in part upon code and data maintained by thedata storage.
 7. The system of claim 6, wherein the code and datacomprises the one of the plurality of modifications corresponding to theselected solution of the different solutions and the existingcustomizations.
 8. The system of claim 1, the platform comprising anapplication platform supporting the existing customizations for avirtual application, wherein the user input is indicative of the newfunctionality to be added to the virtual application supported by theapplication platform.
 9. The system of claim 8, wherein the existingcustomizations include at least one of a custom validation rule, acustom workflow rule, a custom code package and a custom point-and-clickconfiguration.
 10. The system of claim 1, wherein the data storagecomprises an on-demand database and the platform comprises anapplication platform that provides access to data in the on-demanddatabase.
 11. The system of claim 1, wherein the graphicalrepresentations of the plurality of modifications comprise, for eachmodification of the plurality of modifications, a selectable cardincluding information detailing one or more components involved in therespective modification of the plurality of modifications.
 12. A systemcomprising: a data storage to maintain existing customizations; adevelopment database; and a processing system coupled to the developmentdatabase, the data storage and a network to: receive user inputindicative of a new functionality to be supported by a platform from aclient device coupled to the network; determine a plurality ofmodifications corresponding to different solutions for achieving the newfunctionality based at least in part on the existing customizations;provide, at the client device, graphical representations of theplurality of modifications; and automatically implement one of theplurality of modifications corresponding to a selected solution of thedifferent solutions in response to selection of the one of the pluralityof modifications, wherein automatically implementing the one of theplurality of modifications comprises the processing system creating anew customization corresponding to the one of the plurality ofmodifications in the development database and migrating the newcustomization from the development database to the data storage.
 13. Thesystem of claim 12, wherein the new customization comprises at least oneof a new custom object, a new custom field, and a new custom workflow.14. The system of claim 1, wherein each of the plurality ofmodifications do not conflict with the existing customizations.
 15. Amethod of supporting a new functionality at a platform, the methodcomprising: receiving user input indicative of the new functionality tobe supported by the platform from a client device coupled to a network;determining a plurality of different solutions for implementing the newfunctionality at the platform based at least in part on existingcustomizations supported by the platform, each solution of the pluralityof different solutions comprising a respective modification of aplurality of modifications, wherein determining the plurality ofmodifications comprises inputting the existing customizations and thenew functionality to a model configurable to probabilistically determinethe plurality of modifications for achieving the new functionality as afunction of the existing customizations and the new functionality;providing a graphical user interface display at the client deviceincluding graphical indicia of the plurality of different solutions forimplementing the new functionality at the platform; and in response toreceiving indication of a selected solution of the plurality ofdifferent solutions from the client device, automatically instantiatinga new customization corresponding to the selected solution at theplatform, wherein the new customization comprises the respectivemodification of the plurality of modifications corresponding to theselected solution of the plurality of different solutions.
 16. Anon-transitory machine-readable storage medium that providesinstructions that, when executed by a processor, are configurable tocause said processor to perform the method of claim
 15. 17. The methodof claim 15, wherein receiving the user input indicative of the newfunctionality comprises: receiving a conversational user inputcomprising an unconstrained string or combination of words provided in afree-form or unstructured manner using natural language; and analyzingthe conversational user input using speech recognition or artificialintelligence to identify the new functionality to be added.